Shivaram is interested in practical applications of reinforcement learning. In particular, he has used robot soccer as a test domain for much of his research, which has resulted in two Best Student Paper awards at RoboCup. During an internship at the Honda Research Institute, Shivaram applied machine learning to the problem of humanoid fall prediction. His other interests include history, literature, cricket, geography, and theatre.

Shivaram Kalyanakrishnan and Peter Stone, In The Eighth International Conference on Autonomous Agents and Multiagent Systems (AAMAS), pp. 749-756, Richland, SC, May 2009. International Foundation for Autonomous Agents and Multiagent Sy...